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https://github.com/jhermann/kunstkopf
:construction: [ALPHA] :headphones: Tools for handling audio (meta-)data.
https://github.com/jhermann/kunstkopf
audio music-library python unreleased
Last synced: 16 days ago
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:construction: [ALPHA] :headphones: Tools for handling audio (meta-)data.
- Host: GitHub
- URL: https://github.com/jhermann/kunstkopf
- Owner: jhermann
- License: gpl-3.0
- Created: 2013-09-27T21:49:19.000Z (over 11 years ago)
- Default Branch: master
- Last Pushed: 2021-11-15T17:47:00.000Z (about 3 years ago)
- Last Synced: 2024-12-10T17:04:20.336Z (26 days ago)
- Topics: audio, music-library, python, unreleased
- Language: Python
- Homepage:
- Size: 109 KB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
README
# ![Logo](https://raw.github.com/jhermann/kunstkopf/master/doc/_static/kunstkopf-logo-24.png) kunstkopf
[kunstkopf](http://en.wikipedia.org/wiki/Dummy_head_recording)
[[ˈkʊnstkɔp͜f](https://translate.google.com/#de/de/Kunstkopf)]
is a home for tools that handle audio (meta-)data and control your hi-fi toys.![GPLv3 licensed](http://img.shields.io/badge/license-GPLv3-red.svg)
[![Travis CI](https://api.travis-ci.org/jhermann/kunstkopf.svg)](https://travis-ci.org/jhermann/kunstkopf)*kunstkopf* can also be found on
[PyPI](https://pypi.python.org/pypi/kunstkopf)
and [Open HUB](https://www.ohloh.net/p/kunstkopf).## Overview
…
## Usage
…
## Contributing
To create a working directory for this project, call these commands:
```sh
git clone "https://github.com/jhermann/kunstkopf.git"
cd "kunstkopf"
. .env # answer the prompt with (y)es
invoke build --docs
```See [CONTRIBUTING.md](https://github.com/jhermann/kunstkopf/blob/master/CONTRIBUTING.md) for more.
## License
*kunstkopf* is released under the
[GNU General Public License 3.0](http://www.gnu.org/licenses/gpl-3.0.txt),
see ``LICENSE`` for details.## References
### Related Projects
* [mgc-django](https://github.com/indrajithi/mgc-django) – Machine learning approach to classify music based on genres.
* [beets](https://github.com/beetbox/beets) – Music library manager and MusicBrainz tagger.
* [tyiannak/pyAudioAnalysis](https://github.com/tyiannak/pyAudioAnalysis) – Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.
* [bliss-rs](https://github.com/Polochon-street/bliss-rs) – A song analysis library for making smart playlists (Rust with Python bindings).
* [Sam Thursfield / calliope](https://gitlab.com/samthursfield/calliope) – A toolkit for working with playlists of music (GitLab).## Acknowledgements
…